COVID-19 Clinical Trials Report

Dataset statistics

Number of variables	27
Number of observations	5783
Missing cells	18804
Missing cells (%)	12.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.2 MiB
Average record size in memory	216.0 B

Variable types

Numeric	2
Text	13
Categorical	6
DateTime	6

Alerts

`Phases` is highly overall correlated with `Study Type`	High correlation
`Study Type` is highly overall correlated with `Phases`	High correlation
`Study Results` is highly imbalanced (94.5%)	Imbalance
`Gender` is highly imbalanced (84.3%)	Imbalance
`Funded Bys` is highly imbalanced (72.7%)	Imbalance
`Study Type` is highly imbalanced (67.1%)	Imbalance
`Acronym` has 3303 (57.1%) missing values	Missing
`Interventions` has 886 (15.3%) missing values	Missing
`Phases` has 2461 (42.6%) missing values	Missing
`Results First Posted` has 5747 (99.4%) missing values	Missing
`Locations` has 585 (10.1%) missing values	Missing
`Study Documents` has 5601 (96.9%) missing values	Missing
`Enrollment` is highly skewed (γ1 = 34.06593382)	Skewed
`Rank` is uniformly distributed	Uniform
`Rank` has unique values	Unique
`NCT Number` has unique values	Unique
`URL` has unique values	Unique
`Enrollment` has 107 (1.9%) zeros	Zeros

Reproduction

Analysis started	2024-12-09 14:00:10.539822
Analysis finished	2024-12-09 14:00:18.694001
Duration	8.15 seconds
Software version	ydata-profiling vv4.10.0
Download configuration	config.json

Rank
Real number (ℝ)

UNIFORM UNIQUE

Distinct	5783
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2892

Minimum	1
Maximum	5783
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.3 KiB

Quantile statistics

Minimum	1
5-th percentile	290.1
Q1	1446.5
median	2892
Q3	4337.5
95-th percentile	5493.9
Maximum	5783
Range	5782
Interquartile range (IQR)	2891

Descriptive statistics

Standard deviation	1669.5526
Coefficient of variation (CV)	0.57730036
Kurtosis	-1.2
Mean	2892
Median Absolute Deviation (MAD)	1446
Skewness	0
Sum	16724436
Variance	2787406
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	< 0.1%
3864	1	< 0.1%
3862	1	< 0.1%
3861	1	< 0.1%
3860	1	< 0.1%
3859	1	< 0.1%
3858	1	< 0.1%
3857	1	< 0.1%
3856	1	< 0.1%
3855	1	< 0.1%
Other values (5773)	5773	99.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
5783	1	< 0.1%
5782	1	< 0.1%
5781	1	< 0.1%
5780	1	< 0.1%
5779	1	< 0.1%
5778	1	< 0.1%
5777	1	< 0.1%
5776	1	< 0.1%
5775	1	< 0.1%
5774	1	< 0.1%

NCT Number
Text

UNIQUE

Distinct	5783
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	45.3 KiB

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	63613
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5783 ?
Unique (%)	100.0%

Sample

1st row	NCT04785898
2nd row	NCT04595136
3rd row	NCT04395482
4th row	NCT04416061
5th row	NCT04395924

Value	Count	Frequency (%)
nct04785898	1	< 0.1%
nct04473170	1	< 0.1%
nct04416061	1	< 0.1%
nct04395924	1	< 0.1%
nct04516954	1	< 0.1%
nct04476940	1	< 0.1%
nct04634214	1	< 0.1%
nct04602884	1	< 0.1%
nct04384588	1	< 0.1%
nct04355897	1	< 0.1%
Other values (5773)	5773	99.8%

Most occurring characters

Value	Count	Frequency (%)
4	10040	15.8%
0	8659	13.6%
N	5783	9.1%
C	5783	9.1%
T	5783	9.1%
3	4654	7.3%
5	3741	5.9%
6	3687	5.8%
7	3569	5.6%
8	3245	5.1%
Other values (3)	8669	13.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	63613	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
4	10040	15.8%
0	8659	13.6%
N	5783	9.1%
C	5783	9.1%
T	5783	9.1%
3	4654	7.3%
5	3741	5.9%
6	3687	5.8%
7	3569	5.6%
8	3245	5.1%
Other values (3)	8669	13.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	63613	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
4	10040	15.8%
0	8659	13.6%
N	5783	9.1%
C	5783	9.1%
T	5783	9.1%
3	4654	7.3%
5	3741	5.9%
6	3687	5.8%
7	3569	5.6%
8	3245	5.1%
Other values (3)	8669	13.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	63613	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
4	10040	15.8%
0	8659	13.6%
N	5783	9.1%
C	5783	9.1%
T	5783	9.1%
3	4654	7.3%
5	3741	5.9%
6	3687	5.8%
7	3569	5.6%
8	3245	5.1%
Other values (3)	8669	13.6%

Title
Text

Distinct	5775
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Memory size	45.3 KiB

Length

Max length	286
Median length	183
Mean length	80.203701
Min length	18

Characters and Unicode

Total characters	463818
Distinct characters	113
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5767 ?
Unique (%)	99.7%

Sample

1st row	Diagnostic Performance of the ID Now™ COVID-19 Screening Test Versus Simplexa™ COVID-19 Direct Assay
2nd row	Study to Evaluate the Efficacy of COVID19-0001-USR in Patients With Mild/or Moderate COVID-19 Infection in Outpatient
3rd row	Lung CT Scan Analysis of SARS-CoV2 Induced Lung Injury
4th row	The Role of a Private Hospital in Hong Kong Amid COVID-19 Pandemic
5th row	Maternal-foetal Transmission of SARS-Cov-2

Value	Count	Frequency (%)
covid-19	4427	7.0%
of	4038	6.4%
in	3162	5.0%
and	2184	3.5%
the	1841	2.9%
patients	1628	2.6%
with	1480	2.4%
for	1333	2.1%
to	999	1.6%
study	942	1.5%
Other values (7256)	40908	65.0%

Most occurring characters

Value	Count	Frequency (%)
	57159	12.3%
e	33925	7.3%
i	31441	6.8%
t	28661	6.2%
n	28599	6.2%
a	26418	5.7%
o	26098	5.6%
r	18371	4.0%
s	16737	3.6%
l	12504	2.7%
Other values (103)	183905	39.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	463818	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	57159	12.3%
e	33925	7.3%
i	31441	6.8%
t	28661	6.2%
n	28599	6.2%
a	26418	5.7%
o	26098	5.6%
r	18371	4.0%
s	16737	3.6%
l	12504	2.7%
Other values (103)	183905	39.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	463818	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	57159	12.3%
e	33925	7.3%
i	31441	6.8%
t	28661	6.2%
n	28599	6.2%
a	26418	5.7%
o	26098	5.6%
r	18371	4.0%
s	16737	3.6%
l	12504	2.7%
Other values (103)	183905	39.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	463818	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	57159	12.3%
e	33925	7.3%
i	31441	6.8%
t	28661	6.2%
n	28599	6.2%
a	26418	5.7%
o	26098	5.6%
r	18371	4.0%
s	16737	3.6%
l	12504	2.7%
Other values (103)	183905	39.7%

Acronym
Text

MISSING

Distinct	2338
Distinct (%)	94.3%
Missing	3303
Missing (%)	57.1%
Memory size	45.3 KiB

Length

Max length	14
Median length	10
Mean length	8.3794355
Min length	2

Characters and Unicode

Total characters	20781
Distinct characters	81
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2271 ?
Unique (%)	91.6%

Sample

1st row	COVID-IDNow
2nd row	COVID-19
3rd row	TAC-COVID19
4th row	COVID-19
5th row	TMF-COVID-19

Value	Count	Frequency (%)
covid-19	76	2.9%
covid	32	1.2%
corona	11	0.4%
covid19	9	0.3%
recover	8	0.3%
protect	7	0.3%
scope	6	0.2%
2	6	0.2%
hope	5	0.2%
cover	5	0.2%
Other values (2328)	2440	93.7%

Most occurring characters

Value	Count	Frequency (%)
C	2297	11.1%
O	1879	9.0%
I	1653	8.0%
V	1252	6.0%
D	1077	5.2%
A	1030	5.0%
-	1018	4.9%
E	995	4.8%
R	911	4.4%
S	790	3.8%
Other values (71)	7879	37.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	20781	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
C	2297	11.1%
O	1879	9.0%
I	1653	8.0%
V	1252	6.0%
D	1077	5.2%
A	1030	5.0%
-	1018	4.9%
E	995	4.8%
R	911	4.4%
S	790	3.8%
Other values (71)	7879	37.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	20781	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
C	2297	11.1%
O	1879	9.0%
I	1653	8.0%
V	1252	6.0%
D	1077	5.2%
A	1030	5.0%
-	1018	4.9%
E	995	4.8%
R	911	4.4%
S	790	3.8%
Other values (71)	7879	37.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	20781	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
C	2297	11.1%
O	1879	9.0%
I	1653	8.0%
V	1252	6.0%
D	1077	5.2%
A	1030	5.0%
-	1018	4.9%
E	995	4.8%
R	911	4.4%
S	790	3.8%
Other values (71)	7879	37.9%

Status
Categorical

Distinct	12
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	45.3 KiB

Recruiting	2805
Completed	1025
Not yet recruiting	1004
Active, not recruiting	526
Enrolling by invitation	181
Other values (7)	242

Length

Max length	25
Median length	23
Mean length	12.708975
Min length	9

Characters and Unicode

Total characters	73496
Distinct characters	32
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Active, not recruiting
2nd row	Not yet recruiting
3rd row	Recruiting
4th row	Active, not recruiting
5th row	Recruiting

Common Values

Value	Count	Frequency (%)
Recruiting	2805	48.5%
Completed	1025	17.7%
Not yet recruiting	1004	17.4%
Active, not recruiting	526	9.1%
Enrolling by invitation	181	3.1%
Withdrawn	107	1.9%
Terminated	74	1.3%
Suspended	27	0.5%
Available	19	0.3%
No longer available	12	0.2%
Other values (2)	3	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
recruiting	4335	46.9%
not	1531	16.6%
completed	1025	11.1%
yet	1004	10.9%
active	526	5.7%
enrolling	181	2.0%
by	181	2.0%
invitation	181	2.0%
withdrawn	107	1.2%
terminated	74	0.8%
Other values (8)	90	1.0%

Most occurring characters

Value	Count	Frequency (%)
i	10136	13.8%
t	8966	12.2%
e	8166	11.1%
r	6247	8.5%
n	5808	7.9%
c	4861	6.6%
g	4530	6.2%
u	4362	5.9%
	3452	4.7%
o	2947	4.0%
Other values (22)	14021	19.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	73496	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	10136	13.8%
t	8966	12.2%
e	8166	11.1%
r	6247	8.5%
n	5808	7.9%
c	4861	6.6%
g	4530	6.2%
u	4362	5.9%
	3452	4.7%
o	2947	4.0%
Other values (22)	14021	19.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	73496	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	10136	13.8%
t	8966	12.2%
e	8166	11.1%
r	6247	8.5%
n	5808	7.9%
c	4861	6.6%
g	4530	6.2%
u	4362	5.9%
	3452	4.7%
o	2947	4.0%
Other values (22)	14021	19.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	73496	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	10136	13.8%
t	8966	12.2%
e	8166	11.1%
r	6247	8.5%
n	5808	7.9%
c	4861	6.6%
g	4530	6.2%
u	4362	5.9%
	3452	4.7%
o	2947	4.0%
Other values (22)	14021	19.1%

Study Results
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	45.3 KiB

No Results Available	5747
Has Results	36

Length

Max length	20
Median length	20
Mean length	19.943974
Min length	11

Characters and Unicode

Total characters	115336
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No Results Available
2nd row	No Results Available
3rd row	No Results Available
4th row	No Results Available
5th row	No Results Available

Common Values

Value	Count	Frequency (%)
No Results Available	5747	99.4%
Has Results	36	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
results	5783	33.4%
no	5747	33.2%
available	5747	33.2%
has	36	0.2%

Most occurring characters

Value	Count	Frequency (%)
l	17277	15.0%
s	11602	10.1%
	11530	10.0%
e	11530	10.0%
a	11530	10.0%
R	5783	5.0%
u	5783	5.0%
t	5783	5.0%
N	5747	5.0%
o	5747	5.0%
Other values (5)	23024	20.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	115336	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
l	17277	15.0%
s	11602	10.1%
	11530	10.0%
e	11530	10.0%
a	11530	10.0%
R	5783	5.0%
u	5783	5.0%
t	5783	5.0%
N	5747	5.0%
o	5747	5.0%
Other values (5)	23024	20.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	115336	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
l	17277	15.0%
s	11602	10.1%
	11530	10.0%
e	11530	10.0%
a	11530	10.0%
R	5783	5.0%
u	5783	5.0%
t	5783	5.0%
N	5747	5.0%
o	5747	5.0%
Other values (5)	23024	20.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	115336	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
l	17277	15.0%
s	11602	10.1%
	11530	10.0%
e	11530	10.0%
a	11530	10.0%
R	5783	5.0%
u	5783	5.0%
t	5783	5.0%
N	5747	5.0%
o	5747	5.0%
Other values (5)	23024	20.0%

Conditions
Text

Distinct	3067
Distinct (%)	53.0%
Missing	0
Missing (%)	0.0%
Memory size	45.3 KiB

Length

Max length	604
Median length	288
Mean length	30.595193
Min length	3

Characters and Unicode

Total characters	176932
Distinct characters	79
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2766 ?
Unique (%)	47.8%

Sample

1st row	Covid19
2nd row	SARS-CoV-2 Infection
3rd row	covid19
4th row	COVID
5th row	Maternal Fetal Infection Transmission\|COVID-19\|SARS-CoV 2

Value	Count	Frequency (%)
covid-19	1166	7.4%
covid19	753	4.8%
infection	495	3.2%
respiratory	390	2.5%
coronavirus	357	2.3%
virus	245	1.6%
acute	241	1.5%
syndrome	221	1.4%
disease	220	1.4%
covid	201	1.3%
Other values (4600)	11393	72.7%

Most occurring characters

Value	Count	Frequency (%)
i	12718	7.2%
e	12549	7.1%
o	12066	6.8%
	9899	5.6%
n	9595	5.4%
r	9056	5.1%
a	8799	5.0%
s	8136	4.6%
t	7823	4.4%
C	6927	3.9%
Other values (69)	79364	44.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	176932	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	12718	7.2%
e	12549	7.1%
o	12066	6.8%
	9899	5.6%
n	9595	5.4%
r	9056	5.1%
a	8799	5.0%
s	8136	4.6%
t	7823	4.4%
C	6927	3.9%
Other values (69)	79364	44.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	176932	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	12718	7.2%
e	12549	7.1%
o	12066	6.8%
	9899	5.6%
n	9595	5.4%
r	9056	5.1%
a	8799	5.0%
s	8136	4.6%
t	7823	4.4%
C	6927	3.9%
Other values (69)	79364	44.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	176932	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	12718	7.2%
e	12549	7.1%
o	12066	6.8%
	9899	5.6%
n	9595	5.4%
r	9056	5.1%
a	8799	5.0%
s	8136	4.6%
t	7823	4.4%
C	6927	3.9%
Other values (69)	79364	44.9%

Interventions
Text

MISSING

Distinct	4337
Distinct (%)	88.6%
Missing	886
Missing (%)	15.3%
Memory size	45.3 KiB

Length

Max length	1279
Median length	336
Mean length	55.768838
Min length	9

Characters and Unicode

Total characters	273100
Distinct characters	111
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4076 ?
Unique (%)	83.2%

Sample

1st row	Diagnostic Test: ID Now™ COVID-19 Screening Test
2nd row	Drug: Drug COVID19-0001-USR\|Drug: normal saline
3rd row	Other: Lung CT scan analysis in COVID-19 patients
4th row	Diagnostic Test: COVID 19 Diagnostic Test
5th row	Diagnostic Test: Diagnosis of SARS-Cov2 by RT-PCR and : IgG, Ig M serologies in the amniotoc fluid, the blood cord and the placenta

Value	Count	Frequency (%)
drug	1547	5.0%
other	1179	3.8%
test	836	2.7%
placebo	798	2.6%
biological	635	2.1%
of	573	1.9%
diagnostic	532	1.7%
behavioral	513	1.7%
and	402	1.3%
device	338	1.1%
Other values (6737)	23417	76.1%

Most occurring characters

Value	Count	Frequency (%)
	25873	9.5%
e	21134	7.7%
i	18148	6.6%
a	17284	6.3%
o	16654	6.1%
r	15540	5.7%
t	14734	5.4%
n	13009	4.8%
l	11043	4.0%
s	9097	3.3%
Other values (101)	110584	40.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	273100	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	25873	9.5%
e	21134	7.7%
i	18148	6.6%
a	17284	6.3%
o	16654	6.1%
r	15540	5.7%
t	14734	5.4%
n	13009	4.8%
l	11043	4.0%
s	9097	3.3%
Other values (101)	110584	40.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	273100	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	25873	9.5%
e	21134	7.7%
i	18148	6.6%
a	17284	6.3%
o	16654	6.1%
r	15540	5.7%
t	14734	5.4%
n	13009	4.8%
l	11043	4.0%
s	9097	3.3%
Other values (101)	110584	40.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	273100	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	25873	9.5%
e	21134	7.7%
i	18148	6.6%
a	17284	6.3%
o	16654	6.1%
r	15540	5.7%
t	14734	5.4%
n	13009	4.8%
l	11043	4.0%
s	9097	3.3%
Other values (101)	110584	40.5%

Outcome Measures
Text

Distinct	5687
Distinct (%)	98.9%
Missing	35
Missing (%)	0.6%
Memory size	45.3 KiB

Length

Max length	11709
Median length	1385
Mean length	369.49304
Min length	3

Characters and Unicode

Total characters	2123846
Distinct characters	145
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5637 ?
Unique (%)	98.1%

Sample

1st row	Evaluate the diagnostic performance of the ID Now ™ COVID-19 test carried out by nurses in an emergency department in comparison with the reference PCR test: Simplexa ™ COVID-19 Direct
2nd row	Change on viral load results from baseline after using COVID19-0001-USR via nebulization
3rd row	A qualitative analysis of parenchymal lung damage induced by COVID-19\|A quantitative analysis of parenchymal lung damage induced by COVID-19\|The potential impact of parenchymal morphological CT scans in patients with severe moderate respiratory failure.\|Automated segmentation of lung scans of patients with COVID-19 and ARDS.\|Knowledge of chest CT features in COVID-19 patients and their detail through the use of machine learning and other quantitative techniques.\|The ability within which the analysis of artificial intelligence that uses deep learning models can be used to predict clinical outcomes
4th row	Proportion of asymptomatic subjects\|Proportion of subjects with recent contact history\|Proportion of subjects with recent travel history
5th row	COVID-19 by positive PCR in cord blood and / or positive serologies\|COVID-19 by positive PCR in amniotic fluid and placenta\|New born infected by COVID-19

Value	Count	Frequency (%)
of	21816	8.2%
in	8367	3.1%
the	7507	2.8%
and	5884	2.2%
to	5032	1.9%
with	3481	1.3%
covid-19	2558	1.0%
from	2527	0.9%
at	2503	0.9%
by	2215	0.8%
Other values (32481)	204515	76.8%

Most occurring characters

Value	Count	Frequency (%)
	260657	12.3%
e	189729	8.9%
i	145165	6.8%
t	141306	6.7%
a	137378	6.5%
o	131711	6.2%
n	130531	6.1%
s	102395	4.8%
r	101829	4.8%
l	63975	3.0%
Other values (135)	719170	33.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2123846	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	260657	12.3%
e	189729	8.9%
i	145165	6.8%
t	141306	6.7%
a	137378	6.5%
o	131711	6.2%
n	130531	6.1%
s	102395	4.8%
r	101829	4.8%
l	63975	3.0%
Other values (135)	719170	33.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2123846	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	260657	12.3%
e	189729	8.9%
i	145165	6.8%
t	141306	6.7%
a	137378	6.5%
o	131711	6.2%
n	130531	6.1%
s	102395	4.8%
r	101829	4.8%
l	63975	3.0%
Other values (135)	719170	33.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2123846	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	260657	12.3%
e	189729	8.9%
i	145165	6.8%
t	141306	6.7%
a	137378	6.5%
o	131711	6.2%
n	130531	6.1%
s	102395	4.8%
r	101829	4.8%
l	63975	3.0%
Other values (135)	719170	33.9%

Sponsor/Collaborators
Text

Distinct	3631
Distinct (%)	62.8%
Missing	0
Missing (%)	0.0%
Memory size	45.3 KiB

Length

Max length	3268
Median length	588
Mean length	61.998962
Min length	5

Characters and Unicode

Total characters	358540
Distinct characters	135
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2937 ?
Unique (%)	50.8%

Sample

1st row	Groupe Hospitalier Paris Saint Joseph
2nd row	United Medical Specialties
3rd row	University of Milano Bicocca
4th row	Hong Kong Sanatorium & Hospital
5th row	Centre Hospitalier Régional d'Orléans\|Centre de Biophysique Moléculaire - Pr Chantal Pichon\|Professeur TOUMI Hechmi

Value	Count	Frequency (%)
university	2520	6.1%
of	2438	5.9%
hospital	1441	3.5%
de	1246	3.0%
and	757	1.8%
medical	667	1.6%
health	662	1.6%
research	634	1.5%
institute	527	1.3%
center	371	0.9%
Other values (9432)	29901	72.6%

Most occurring characters

Value	Count	Frequency (%)
	35381	9.9%
i	30587	8.5%
e	30199	8.4%
a	26112	7.3%
n	22908	6.4%
t	21619	6.0%
o	18857	5.3%
r	18208	5.1%
s	17607	4.9%
l	14264	4.0%
Other values (125)	122798	34.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	358540	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	35381	9.9%
i	30587	8.5%
e	30199	8.4%
a	26112	7.3%
n	22908	6.4%
t	21619	6.0%
o	18857	5.3%
r	18208	5.1%
s	17607	4.9%
l	14264	4.0%
Other values (125)	122798	34.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	358540	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	35381	9.9%
i	30587	8.5%
e	30199	8.4%
a	26112	7.3%
n	22908	6.4%
t	21619	6.0%
o	18857	5.3%
r	18208	5.1%
s	17607	4.9%
l	14264	4.0%
Other values (125)	122798	34.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	358540	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	35381	9.9%
i	30587	8.5%
e	30199	8.4%
a	26112	7.3%
n	22908	6.4%
t	21619	6.0%
o	18857	5.3%
r	18208	5.1%
s	17607	4.9%
l	14264	4.0%
Other values (125)	122798	34.2%

Gender
Categorical

IMBALANCE

Distinct	3
Distinct (%)	0.1%
Missing	10
Missing (%)	0.2%
Memory size	45.3 KiB

All	5567
Female	162
Male	44

Length

Max length	6
Median length	3
Mean length	3.0918067
Min length	3

Characters and Unicode

Total characters	17849
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	All
2nd row	All
3rd row	All
4th row	All
5th row	Female

Common Values

Value	Count	Frequency (%)
All	5567	96.3%
Female	162	2.8%
Male	44	0.8%
(Missing)	10	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
all	5567	96.4%
female	162	2.8%
male	44	0.8%

Most occurring characters

Value	Count	Frequency (%)
l	11340	63.5%
A	5567	31.2%
e	368	2.1%
a	206	1.2%
F	162	0.9%
m	162	0.9%
M	44	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	17849	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
l	11340	63.5%
A	5567	31.2%
e	368	2.1%
a	206	1.2%
F	162	0.9%
m	162	0.9%
M	44	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	17849	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
l	11340	63.5%
A	5567	31.2%
e	368	2.1%
a	206	1.2%
F	162	0.9%
m	162	0.9%
M	44	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	17849	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
l	11340	63.5%
A	5567	31.2%
e	368	2.1%
a	206	1.2%
F	162	0.9%
m	162	0.9%
M	44	0.2%

Age
Text

Distinct	417
Distinct (%)	7.2%
Missing	0
Missing (%)	0.0%
Memory size	45.3 KiB

Length

Max length	51
Median length	41
Mean length	39.450977
Min length	22

Characters and Unicode

Total characters	228145
Distinct characters	38
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	236 ?
Unique (%)	4.1%

Sample

1st row	18 Years and older (Adult, Older Adult)
2nd row	18 Years and older (Adult, Older Adult)
3rd row	18 Years and older (Adult, Older Adult)
4th row	Child, Adult, Older Adult
5th row	18 Years to 48 Years (Adult)

Value	Count	Frequency (%)
adult	10848	27.0%
older	8586	21.4%
years	7070	17.6%
18	4329	10.8%
and	3344	8.3%
to	1953	4.9%
child	1011	2.5%
80	283	0.7%
65	240	0.6%
75	169	0.4%
Other values (96)	2323	5.8%

Most occurring characters

Value	Count	Frequency (%)
	39670	17.4%
d	23789	10.4%
l	20445	9.0%
e	15692	6.9%
r	15687	6.9%
t	12855	5.6%
u	10937	4.8%
A	10848	4.8%
a	10449	4.6%
s	7120	3.1%
Other values (28)	60653	26.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	228145	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	39670	17.4%
d	23789	10.4%
l	20445	9.0%
e	15692	6.9%
r	15687	6.9%
t	12855	5.6%
u	10937	4.8%
A	10848	4.8%
a	10449	4.6%
s	7120	3.1%
Other values (28)	60653	26.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	228145	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	39670	17.4%
d	23789	10.4%
l	20445	9.0%
e	15692	6.9%
r	15687	6.9%
t	12855	5.6%
u	10937	4.8%
A	10848	4.8%
a	10449	4.6%
s	7120	3.1%
Other values (28)	60653	26.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	228145	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	39670	17.4%
d	23789	10.4%
l	20445	9.0%
e	15692	6.9%
r	15687	6.9%
t	12855	5.6%
u	10937	4.8%
A	10848	4.8%
a	10449	4.6%
s	7120	3.1%
Other values (28)	60653	26.6%

Phases
Categorical

HIGH CORRELATION MISSING

Distinct	8
Distinct (%)	0.2%
Missing	2461
Missing (%)	42.6%
Memory size	45.3 KiB

Not Applicable	1354
Phase 2	685
Phase 3	450
Phase 1	234
Phase 2\|Phase 3	200
Other values (3)	399

Length

Max length	15
Median length	14
Mean length	10.880193
Min length	7

Characters and Unicode

Total characters	36144
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Not Applicable
2nd row	Phase 1\|Phase 2
3rd row	Early Phase 1
4th row	Not Applicable
5th row	Not Applicable

Common Values

Value	Count	Frequency (%)
Not Applicable	1354	23.4%
Phase 2	685	11.8%
Phase 3	450	7.8%
Phase 1	234	4.0%
Phase 2\|Phase 3	200	3.5%
Phase 1\|Phase 2	192	3.3%
Phase 4	161	2.8%
Early Phase 1	46	0.8%
(Missing)	2461	42.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
phase	1968	27.8%
not	1354	19.1%
applicable	1354	19.1%
2	877	12.4%
3	650	9.2%
1	280	4.0%
2\|phase	200	2.8%
1\|phase	192	2.7%
4	161	2.3%
early	46	0.6%

Most occurring characters

Value	Count	Frequency (%)
	3760	10.4%
a	3760	10.4%
e	3714	10.3%
l	2754	7.6%
p	2708	7.5%
s	2360	6.5%
h	2360	6.5%
P	2360	6.5%
b	1354	3.7%
o	1354	3.7%
Other values (13)	9660	26.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	36144	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	3760	10.4%
a	3760	10.4%
e	3714	10.3%
l	2754	7.6%
p	2708	7.5%
s	2360	6.5%
h	2360	6.5%
P	2360	6.5%
b	1354	3.7%
o	1354	3.7%
Other values (13)	9660	26.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	36144	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	3760	10.4%
a	3760	10.4%
e	3714	10.3%
l	2754	7.6%
p	2708	7.5%
s	2360	6.5%
h	2360	6.5%
P	2360	6.5%
b	1354	3.7%
o	1354	3.7%
Other values (13)	9660	26.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	36144	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	3760	10.4%
a	3760	10.4%
e	3714	10.3%
l	2754	7.6%
p	2708	7.5%
s	2360	6.5%
h	2360	6.5%
P	2360	6.5%
b	1354	3.7%
o	1354	3.7%
Other values (13)	9660	26.7%

Enrollment
Real number (ℝ)

SKEWED ZEROS

Distinct	962
Distinct (%)	16.7%
Missing	34
Missing (%)	0.6%
Infinite	0
Infinite (%)	0.0%
Mean	18319.489

Minimum	0
Maximum	20000000
Zeros	107
Zeros (%)	1.9%
Negative	0
Negative (%)	0.0%
Memory size	45.3 KiB

Quantile statistics

Minimum	0
5-th percentile	15
Q1	60
median	170
Q3	560
95-th percentile	5315.6
Maximum	20000000
Range	20000000
Interquartile range (IQR)	500

Descriptive statistics

Standard deviation	404543.73
Coefficient of variation (CV)	22.082698
Kurtosis	1353.8226
Mean	18319.489
Median Absolute Deviation (MAD)	135
Skewness	34.065934
Sum	1.0531874 × 10⁸
Variance	1.6365563 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	350	6.1%
200	244	4.2%
60	176	3.0%
30	173	3.0%
50	168	2.9%
1000	167	2.9%
40	166	2.9%
300	153	2.6%
500	150	2.6%
20	128	2.2%
Other values (952)	3874	67.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	107	1.9%
1	8	0.1%
2	8	0.1%
3	4	0.1%
4	5	0.1%
5	18	0.3%
6	5	0.1%
7	6	0.1%
8	9	0.2%
9	9	0.2%

Value	Count	Frequency (%)
20000000	1	< 0.1%
12000000	1	< 0.1%
10000000	2	< 0.1%
7882471	1	< 0.1%
7000000	1	< 0.1%
6000000	2	< 0.1%
2000000	1	< 0.1%
1302508	1	< 0.1%
1200000	1	< 0.1%
1000000	5	0.1%

Funded Bys
Categorical

IMBALANCE

Distinct	26
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	45.3 KiB

Other	4488
Industry	651
Other\|Industry	216
Industry\|Other	190
Other\|NIH	97
Other values (21)	141

Length

Max length	27
Median length	5
Mean length	6.1647934
Min length	3

Characters and Unicode

Total characters	35651
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	0.1%

Sample

1st row	Other
2nd row	Other
3rd row	Other
4th row	Industry
5th row	Other

Common Values

Value	Count	Frequency (%)
Other	4488	77.6%
Industry	651	11.3%
Other\|Industry	216	3.7%
Industry\|Other	190	3.3%
Other\|NIH	97	1.7%
NIH	51	0.9%
Other\|U.S. Fed	25	0.4%
U.S. Fed	15	0.3%
Industry\|U.S. Fed	10	0.2%
NIH\|Industry	6	0.1%
Other values (16)	34	0.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
other	4488	76.7%
industry	651	11.1%
other\|industry	216	3.7%
industry\|other	190	3.2%
other\|nih	97	1.7%
fed	53	0.9%
nih	51	0.9%
other\|u.s	27	0.5%
u.s	20	0.3%
industry\|u.s	14	0.2%
Other values (15)	42	0.7%

Most occurring characters

Value	Count	Frequency (%)
t	6141	17.2%
r	6141	17.2%
e	5113	14.3%
O	5047	14.2%
h	5047	14.2%
I	1272	3.6%
d	1160	3.3%
y	1094	3.1%
s	1094	3.1%
u	1094	3.1%
Other values (9)	2448	6.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	35651	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	6141	17.2%
r	6141	17.2%
e	5113	14.3%
O	5047	14.2%
h	5047	14.2%
I	1272	3.6%
d	1160	3.3%
y	1094	3.1%
s	1094	3.1%
u	1094	3.1%
Other values (9)	2448	6.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	35651	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	6141	17.2%
r	6141	17.2%
e	5113	14.3%
O	5047	14.2%
h	5047	14.2%
I	1272	3.6%
d	1160	3.3%
y	1094	3.1%
s	1094	3.1%
u	1094	3.1%
Other values (9)	2448	6.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	35651	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	6141	17.2%
r	6141	17.2%
e	5113	14.3%
O	5047	14.2%
h	5047	14.2%
I	1272	3.6%
d	1160	3.3%
y	1094	3.1%
s	1094	3.1%
u	1094	3.1%
Other values (9)	2448	6.9%

Study Type
Categorical

HIGH CORRELATION IMBALANCE

Distinct	9
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	45.3 KiB

Interventional	3322
Observational	2427
Expanded Access:Intermediate-size Population	15
Expanded Access:Treatment IND/Protocol	8
Expanded Access:Intermediate-size Population\|Treatment IND/Protocol	5
Other values (4)	6

Length

Max length	67
Median length	14
Mean length	13.764482
Min length	13

Characters and Unicode

Total characters	79600
Distinct characters	31
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.1%

Sample

1st row	Interventional
2nd row	Interventional
3rd row	Observational
4th row	Observational
5th row	Observational

Common Values

Value	Count	Frequency (%)
Interventional	3322	57.4%
Observational	2427	42.0%
Expanded Access:Intermediate-size Population	15	0.3%
Expanded Access:Treatment IND/Protocol	8	0.1%
Expanded Access:Intermediate-size Population\|Treatment IND/Protocol	5	0.1%
Expanded Access:Individual Patients	3	0.1%
Expanded Access:Individual Patients\|Intermediate-size Population	1	< 0.1%
Expanded Access	1	< 0.1%
Expanded Access:Individual Patients\|Treatment IND/Protocol	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
interventional	3322	56.7%
observational	2427	41.4%
expanded	34	0.6%
access:intermediate-size	20	0.3%
population	16	0.3%
ind/protocol	14	0.2%
access:treatment	8	0.1%
population\|treatment	5	0.1%
access:individual	5	0.1%
patients	3	0.1%
Other values (3)	3	0.1%

Most occurring characters

Value	Count	Frequency (%)
n	12493	15.7%
e	9256	11.6%
t	9186	11.5%
a	8276	10.4%
o	5833	7.3%
i	5827	7.3%
r	5798	7.3%
l	5789	7.3%
v	5754	7.2%
I	3362	4.2%
Other values (21)	8026	10.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	79600	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	12493	15.7%
e	9256	11.6%
t	9186	11.5%
a	8276	10.4%
o	5833	7.3%
i	5827	7.3%
r	5798	7.3%
l	5789	7.3%
v	5754	7.2%
I	3362	4.2%
Other values (21)	8026	10.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	79600	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	12493	15.7%
e	9256	11.6%
t	9186	11.5%
a	8276	10.4%
o	5833	7.3%
i	5827	7.3%
r	5798	7.3%
l	5789	7.3%
v	5754	7.2%
I	3362	4.2%
Other values (21)	8026	10.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	79600	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	12493	15.7%
e	9256	11.6%
t	9186	11.5%
a	8276	10.4%
o	5833	7.3%
i	5827	7.3%
r	5798	7.3%
l	5789	7.3%
v	5754	7.2%
I	3362	4.2%
Other values (21)	8026	10.1%

Study Designs
Text

Distinct	267
Distinct (%)	4.6%
Missing	35
Missing (%)	0.6%
Memory size	45.3 KiB

Length

Max length	176
Median length	168
Mean length	100.38309
Min length	50

Characters and Unicode

Total characters	577002
Distinct characters	48
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	103 ?
Unique (%)	1.8%

Sample

1st row	Allocation: N/A\|Intervention Model: Single Group Assignment\|Masking: None (Open Label)\|Primary Purpose: Diagnostic
2nd row	Allocation: Randomized\|Intervention Model: Parallel Assignment\|Masking: Triple (Participant, Care Provider, Investigator)\|Primary Purpose: Treatment
3rd row	Observational Model: Cohort\|Time Perspective: Retrospective
4th row	Observational Model: Cohort\|Time Perspective: Retrospective
5th row	Observational Model: Cohort\|Time Perspective: Prospective

Value	Count	Frequency (%)
model	5748	11.7%
assignment\|masking	3322	6.8%
purpose	3322	6.8%
allocation	3319	6.8%
randomized\|intervention	2459	5.0%
observational	2426	4.9%
perspective	2426	4.9%
parallel	2372	4.8%
treatment	2044	4.2%
label)\|primary	1734	3.5%
Other values (46)	19942	40.6%

Most occurring characters

Value	Count	Frequency (%)
e	60671	10.5%
	43366	7.5%
n	40055	6.9%
o	38596	6.7%
i	36295	6.3%
r	35705	6.2%
t	34246	5.9%
a	32675	5.7%
s	27475	4.8%
l	27150	4.7%
Other values (38)	200768	34.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	577002	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	60671	10.5%
	43366	7.5%
n	40055	6.9%
o	38596	6.7%
i	36295	6.3%
r	35705	6.2%
t	34246	5.9%
a	32675	5.7%
s	27475	4.8%
l	27150	4.7%
Other values (38)	200768	34.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	577002	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	60671	10.5%
	43366	7.5%
n	40055	6.9%
o	38596	6.7%
i	36295	6.3%
r	35705	6.2%
t	34246	5.9%
a	32675	5.7%
s	27475	4.8%
l	27150	4.7%
Other values (38)	200768	34.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	577002	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	60671	10.5%
	43366	7.5%
n	40055	6.9%
o	38596	6.7%
i	36295	6.3%
r	35705	6.2%
t	34246	5.9%
a	32675	5.7%
s	27475	4.8%
l	27150	4.7%
Other values (38)	200768	34.8%

Other IDs
Text

Distinct	5734
Distinct (%)	99.2%
Missing	1
Missing (%)	< 0.1%
Memory size	45.3 KiB

Length

Max length	90
Median length	65
Mean length	13.310792
Min length	1

Characters and Unicode

Total characters	76963
Distinct characters	104
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5701 ?
Unique (%)	98.6%

Sample

1st row	COVID-IDNow
2nd row	COVID19-0001-USR
3rd row	TAC-COVID19
4th row	RC-2020-08
5th row	CHRO-2020-10

Value	Count	Frequency (%)
covid-19	120	1.7%
covid	77	1.1%
2020	52	0.7%
	46	0.6%
in	35	0.5%
study	33	0.5%
19	22	0.3%
covid19	18	0.2%
fmasu	17	0.2%
irb	15	0.2%
Other values (6336)	6835	94.0%

Most occurring characters

Value	Count	Frequency (%)
0	11971	15.6%
2	7462	9.7%
1	5340	6.9%
-	5074	6.6%
C	2814	3.7%
3	2337	3.0%
I	1997	2.6%
9	1970	2.6%
4	1779	2.3%
5	1756	2.3%
Other values (94)	34463	44.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	76963	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	11971	15.6%
2	7462	9.7%
1	5340	6.9%
-	5074	6.6%
C	2814	3.7%
3	2337	3.0%
I	1997	2.6%
9	1970	2.6%
4	1779	2.3%
5	1756	2.3%
Other values (94)	34463	44.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	76963	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	11971	15.6%
2	7462	9.7%
1	5340	6.9%
-	5074	6.6%
C	2814	3.7%
3	2337	3.0%
I	1997	2.6%
9	1970	2.6%
4	1779	2.3%
5	1756	2.3%
Other values (94)	34463	44.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	76963	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	11971	15.6%
2	7462	9.7%
1	5340	6.9%
-	5074	6.6%
C	2814	3.7%
3	2337	3.0%
I	1997	2.6%
9	1970	2.6%
4	1779	2.3%
5	1756	2.3%
Other values (94)	34463	44.8%

Start Date
Date

Distinct	628
Distinct (%)	10.9%
Missing	34
Missing (%)	0.6%
Memory size	45.3 KiB

Minimum	1998-01-01 00:00:00
Maximum	2022-01-01 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

Primary Completion Date
Date

Distinct	828
Distinct (%)	14.4%
Missing	36
Missing (%)	0.6%
Memory size	45.3 KiB

Minimum	2016-05-31 00:00:00
Maximum	2099-12-31 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

Completion Date
Date

Distinct	923
Distinct (%)	16.1%
Missing	36
Missing (%)	0.6%
Memory size	45.3 KiB

Minimum	2018-05-25 00:00:00
Maximum	2099-12-31 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

First Posted
Date

Distinct	438
Distinct (%)	7.6%
Missing	0
Missing (%)	0.0%
Memory size	45.3 KiB

Minimum	2007-12-12 00:00:00
Maximum	2021-04-14 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

Results First Posted
Date

MISSING

Distinct	33
Distinct (%)	91.7%
Missing	5747
Missing (%)	99.4%
Memory size	45.3 KiB

Minimum	2019-04-08 00:00:00
Maximum	2021-04-14 00:00:00

Histogram

Histogram with fixed size bins (bins=33)

Last Update Posted
Date

Distinct	269
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Memory size	45.3 KiB

Minimum	2020-02-05 00:00:00
Maximum	2021-04-14 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

Locations
Text

MISSING

Distinct	4255
Distinct (%)	81.9%
Missing	585
Missing (%)	10.1%
Memory size	45.3 KiB

Length

Max length	63843
Median length	5419
Mean length	295.16006
Min length	18

Characters and Unicode

Total characters	1534242
Distinct characters	184
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3765 ?
Unique (%)	72.4%

Sample

1st row	Groupe Hospitalier Paris Saint-Joseph, Paris, Ile De France, France
2nd row	Cimedical, Barranquilla, Atlantico, Colombia
3rd row	Ospedale Papa Giovanni XXIII, Bergamo, Italy\|Policlinico San Marco-San Donato group, Bergamo, Italy\|Azienda Ospedaliero-Universitaria di Ferrara, Ferrara, Italy\|ASST di Lecco Ospedale Alessandro Manzoni, Lecco, Italy\|ASST Melegnano-Martesana, Ospedale Santa Maria delle Stelle, Melzo, Italy\|ASST Monza, Monza, Italy\|AUSL Romagna-Ospedale Infermi di Rimini, Rimini, Italy\|Istituto per la Sicurezza Sociale-Ospedale della Repubblica di San Marino, San Marino, San Marino
4th row	Hong Kong Sanatorium & Hospital, Hong Kong, Hong Kong
5th row	CHR Orléans, Orléans, France

Value	Count	Frequency (%)
united	9742	5.5%
hospital	5463	3.1%
of	3963	2.2%
de	3096	1.7%
university	3032	1.7%
center	2819	1.6%
medical	2685	1.5%
	2492	1.4%
site	2443	1.4%
research	1880	1.1%
Other values (19748)	140645	78.9%

Most occurring characters

Value	Count	Frequency (%)
	173062	11.3%
e	127332	8.3%
a	122277	8.0%
i	111275	7.3%
t	95674	6.2%
n	92954	6.1%
o	71878	4.7%
r	68651	4.5%
s	66169	4.3%
,	65193	4.2%
Other values (174)	539777	35.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1534242	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	173062	11.3%
e	127332	8.3%
a	122277	8.0%
i	111275	7.3%
t	95674	6.2%
n	92954	6.1%
o	71878	4.7%
r	68651	4.5%
s	66169	4.3%
,	65193	4.2%
Other values (174)	539777	35.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1534242	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	173062	11.3%
e	127332	8.3%
a	122277	8.0%
i	111275	7.3%
t	95674	6.2%
n	92954	6.1%
o	71878	4.7%
r	68651	4.5%
s	66169	4.3%
,	65193	4.2%
Other values (174)	539777	35.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1534242	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	173062	11.3%
e	127332	8.3%
a	122277	8.0%
i	111275	7.3%
t	95674	6.2%
n	92954	6.1%
o	71878	4.7%
r	68651	4.5%
s	66169	4.3%
,	65193	4.2%
Other values (174)	539777	35.2%

Study Documents
Text

MISSING

Distinct	182
Distinct (%)	100.0%
Missing	5601
Missing (%)	96.9%
Memory size	45.3 KiB

Length

Max length	489
Median length	381
Mean length	143.82967
Min length	85

Characters and Unicode

Total characters	26177
Distinct characters	64
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	182 ?
Unique (%)	100.0%

Sample

1st row	"Statistical Analysis Plan", https://ClinicalTrials.gov/ProvidedDocs/85/NCT04407585/SAP_000.pdf
2nd row	"Study Protocol and Statistical Analysis Plan", https://ClinicalTrials.gov/ProvidedDocs/44/NCT04674644/Prot_SAP_000.pdf
3rd row	"Statistical Analysis Plan", https://ClinicalTrials.gov/ProvidedDocs/18/NCT04816318/SAP_000.pdf\|"Study Protocol", https://ClinicalTrials.gov/ProvidedDocs/18/NCT04816318/Prot_001.pdf
4th row	"Study Protocol and Statistical Analysis Plan", https://ClinicalTrials.gov/ProvidedDocs/96/NCT04474496/Prot_SAP_000.pdf
5th row	"Study Protocol and Statistical Analysis Plan", https://ClinicalTrials.gov/ProvidedDocs/63/NCT04713163/Prot_SAP_000.pdf

Value	Count	Frequency (%)
protocol	147	11.7%
study	131	10.4%
analysis	124	9.9%
plan	123	9.8%
statistical	104	8.3%
and	98	7.8%
consent	91	7.2%
form	89	7.1%
informed	58	4.6%
part	4	0.3%
Other values (278)	289	23.0%

Most occurring characters

Value	Count	Frequency (%)
o	1626	6.2%
/	1506	5.8%
t	1426	5.4%
i	1402	5.4%
l	1278	4.9%
s	1222	4.7%
a	1121	4.3%
d	1095	4.2%
0	1085	4.1%
	1076	4.1%
Other values (54)	13340	51.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	26177	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	1626	6.2%
/	1506	5.8%
t	1426	5.4%
i	1402	5.4%
l	1278	4.9%
s	1222	4.7%
a	1121	4.3%
d	1095	4.2%
0	1085	4.1%
	1076	4.1%
Other values (54)	13340	51.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	26177	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	1626	6.2%
/	1506	5.8%
t	1426	5.4%
i	1402	5.4%
l	1278	4.9%
s	1222	4.7%
a	1121	4.3%
d	1095	4.2%
0	1085	4.1%
	1076	4.1%
Other values (54)	13340	51.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	26177	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	1626	6.2%
/	1506	5.8%
t	1426	5.4%
i	1402	5.4%
l	1278	4.9%
s	1222	4.7%
a	1121	4.3%
d	1095	4.2%
0	1085	4.1%
	1076	4.1%
Other values (54)	13340	51.0%

URL
Text

UNIQUE

Distinct	5783
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	45.3 KiB

Length

Max length	43
Median length	43
Mean length	43
Min length	43

Characters and Unicode

Total characters	248669
Distinct characters	30
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5783 ?
Unique (%)	100.0%

Sample

1st row	https://ClinicalTrials.gov/show/NCT04785898
2nd row	https://ClinicalTrials.gov/show/NCT04595136
3rd row	https://ClinicalTrials.gov/show/NCT04395482
4th row	https://ClinicalTrials.gov/show/NCT04416061
5th row	https://ClinicalTrials.gov/show/NCT04395924

Value	Count	Frequency (%)
https://clinicaltrials.gov/show/nct04785898	1	< 0.1%
https://clinicaltrials.gov/show/nct04473170	1	< 0.1%
https://clinicaltrials.gov/show/nct04416061	1	< 0.1%
https://clinicaltrials.gov/show/nct04395924	1	< 0.1%
https://clinicaltrials.gov/show/nct04516954	1	< 0.1%
https://clinicaltrials.gov/show/nct04476940	1	< 0.1%
https://clinicaltrials.gov/show/nct04634214	1	< 0.1%
https://clinicaltrials.gov/show/nct04602884	1	< 0.1%
https://clinicaltrials.gov/show/nct04384588	1	< 0.1%
https://clinicaltrials.gov/show/nct04355897	1	< 0.1%
Other values (5773)	5773	99.8%

Most occurring characters

Value	Count	Frequency (%)
/	23132	9.3%
s	17349	7.0%
l	17349	7.0%
i	17349	7.0%
h	11566	4.7%
t	11566	4.7%
C	11566	4.7%
a	11566	4.7%
T	11566	4.7%
o	11566	4.7%
Other values (20)	104094	41.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	248669	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
/	23132	9.3%
s	17349	7.0%
l	17349	7.0%
i	17349	7.0%
h	11566	4.7%
t	11566	4.7%
C	11566	4.7%
a	11566	4.7%
T	11566	4.7%
o	11566	4.7%
Other values (20)	104094	41.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	248669	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
/	23132	9.3%
s	17349	7.0%
l	17349	7.0%
i	17349	7.0%
h	11566	4.7%
t	11566	4.7%
C	11566	4.7%
a	11566	4.7%
T	11566	4.7%
o	11566	4.7%
Other values (20)	104094	41.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	248669	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
/	23132	9.3%
s	17349	7.0%
l	17349	7.0%
i	17349	7.0%
h	11566	4.7%
t	11566	4.7%
C	11566	4.7%
a	11566	4.7%
T	11566	4.7%
o	11566	4.7%
Other values (20)	104094	41.9%

Rank
Enrollment

Enrollment
Rank

Enrollment
Rank

Auto

Heatmap
Table

	Enrollment	Funded Bys	Gender	Phases	Rank	Status	Study Results	Study Type
Enrollment	1.000	0.000	0.000	0.000	-0.112	0.000	0.000	0.030
Funded Bys	0.000	1.000	0.056	0.155	0.060	0.046	0.062	0.099
Gender	0.000	0.056	1.000	0.126	0.078	0.014	0.066	0.000
Phases	0.000	0.155	0.126	1.000	0.142	0.075	0.060	1.000
Rank	-0.112	0.060	0.078	0.142	1.000	0.040	0.000	0.059
Status	0.000	0.046	0.014	0.075	0.040	1.000	0.158	0.419
Study Results	0.000	0.062	0.066	0.060	0.000	0.158	1.000	0.018
Study Type	0.030	0.099	0.000	1.000	0.059	0.419	0.018	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	Rank	NCT Number	Title	Acronym	Status	Study Results	Conditions	Interventions	Outcome Measures	Sponsor/Collaborators	Gender	Age	Phases	Enrollment	Funded Bys	Study Type	Study Designs	Other IDs	Start Date	Primary Completion Date	Completion Date	First Posted	Results First Posted	Last Update Posted	Locations	Study Documents	URL
0	1	NCT04785898	Diagnostic Performance of the ID Now™ COVID-19 Screening Test Versus Simplexa™ COVID-19 Direct Assay	COVID-IDNow	Active, not recruiting	No Results Available	Covid19	Diagnostic Test: ID Now™ COVID-19 Screening Test	Evaluate the diagnostic performance of the ID Now ™ COVID-19 test carried out by nurses in an emergency department in comparison with the reference PCR test: Simplexa ™ COVID-19 Direct	Groupe Hospitalier Paris Saint Joseph	All	18 Years and older (Adult, Older Adult)	Not Applicable	1000.0	Other	Interventional	Allocation: N/A\|Intervention Model: Single Group Assignment\|Masking: None (Open Label)\|Primary Purpose: Diagnostic	COVID-IDNow	November 9, 2020	December 22, 2020	April 30, 2021	March 8, 2021	NaN	March 8, 2021	Groupe Hospitalier Paris Saint-Joseph, Paris, Ile De France, France	NaN	https://ClinicalTrials.gov/show/NCT04785898
1	2	NCT04595136	Study to Evaluate the Efficacy of COVID19-0001-USR in Patients With Mild/or Moderate COVID-19 Infection in Outpatient	COVID-19	Not yet recruiting	No Results Available	SARS-CoV-2 Infection	Drug: Drug COVID19-0001-USR\|Drug: normal saline	Change on viral load results from baseline after using COVID19-0001-USR via nebulization	United Medical Specialties	All	18 Years and older (Adult, Older Adult)	Phase 1\|Phase 2	60.0	Other	Interventional	Allocation: Randomized\|Intervention Model: Parallel Assignment\|Masking: Triple (Participant, Care Provider, Investigator)\|Primary Purpose: Treatment	COVID19-0001-USR	November 2, 2020	December 15, 2020	January 29, 2021	October 20, 2020	NaN	October 20, 2020	Cimedical, Barranquilla, Atlantico, Colombia	NaN	https://ClinicalTrials.gov/show/NCT04595136
2	3	NCT04395482	Lung CT Scan Analysis of SARS-CoV2 Induced Lung Injury	TAC-COVID19	Recruiting	No Results Available	covid19	Other: Lung CT scan analysis in COVID-19 patients	A qualitative analysis of parenchymal lung damage induced by COVID-19\|A quantitative analysis of parenchymal lung damage induced by COVID-19\|The potential impact of parenchymal morphological CT scans in patients with severe moderate respiratory failure.\|Automated segmentation of lung scans of patients with COVID-19 and ARDS.\|Knowledge of chest CT features in COVID-19 patients and their detail through the use of machine learning and other quantitative techniques.\|The ability within which the analysis of artificial intelligence that uses deep learning models can be used to predict clinical outcomes	University of Milano Bicocca	All	18 Years and older (Adult, Older Adult)	NaN	500.0	Other	Observational	Observational Model: Cohort\|Time Perspective: Retrospective	TAC-COVID19	May 7, 2020	June 15, 2021	June 15, 2021	May 20, 2020	NaN	November 9, 2020	Ospedale Papa Giovanni XXIII, Bergamo, Italy\|Policlinico San Marco-San Donato group, Bergamo, Italy\|Azienda Ospedaliero-Universitaria di Ferrara, Ferrara, Italy\|ASST di Lecco Ospedale Alessandro Manzoni, Lecco, Italy\|ASST Melegnano-Martesana, Ospedale Santa Maria delle Stelle, Melzo, Italy\|ASST Monza, Monza, Italy\|AUSL Romagna-Ospedale Infermi di Rimini, Rimini, Italy\|Istituto per la Sicurezza Sociale-Ospedale della Repubblica di San Marino, San Marino, San Marino	NaN	https://ClinicalTrials.gov/show/NCT04395482
3	4	NCT04416061	The Role of a Private Hospital in Hong Kong Amid COVID-19 Pandemic	COVID-19	Active, not recruiting	No Results Available	COVID	Diagnostic Test: COVID 19 Diagnostic Test	Proportion of asymptomatic subjects\|Proportion of subjects with recent contact history\|Proportion of subjects with recent travel history	Hong Kong Sanatorium & Hospital	All	Child, Adult, Older Adult	NaN	2500.0	Industry	Observational	Observational Model: Cohort\|Time Perspective: Retrospective	RC-2020-08	May 25, 2020	July 31, 2020	August 31, 2020	June 4, 2020	NaN	June 4, 2020	Hong Kong Sanatorium & Hospital, Hong Kong, Hong Kong	NaN	https://ClinicalTrials.gov/show/NCT04416061
4	5	NCT04395924	Maternal-foetal Transmission of SARS-Cov-2	TMF-COVID-19	Recruiting	No Results Available	Maternal Fetal Infection Transmission\|COVID-19\|SARS-CoV 2	Diagnostic Test: Diagnosis of SARS-Cov2 by RT-PCR and : IgG, Ig M serologies in the amniotoc fluid, the blood cord and the placenta	COVID-19 by positive PCR in cord blood and / or positive serologies\|COVID-19 by positive PCR in amniotic fluid and placenta\|New born infected by COVID-19	Centre Hospitalier Régional d'Orléans\|Centre de Biophysique Moléculaire - Pr Chantal Pichon\|Professeur TOUMI Hechmi	Female	18 Years to 48 Years (Adult)	NaN	50.0	Other	Observational	Observational Model: Cohort\|Time Perspective: Prospective	CHRO-2020-10	May 5, 2020	May 2021	May 2021	May 20, 2020	NaN	June 4, 2020	CHR Orléans, Orléans, France	NaN	https://ClinicalTrials.gov/show/NCT04395924
5	6	NCT04516954	Convalescent Plasma for COVID-19 Patients	CPCP	Enrolling by invitation	No Results Available	COVID 19	Biological: Convalescent COVID 19 Plasma	Evaluate the safety\|Change in requirement for mechanical ventilatory support	Vinmec Research Institute of Stem Cell and Gene Technology\|National Institute of Hygiene and Epidemiology, Vietnam\|National Hospital for Tropical Diseases, Hanoi, Vietnam\|National Institute of Hematology and Blood Transfusion, Vietnam	All	18 Years to 75 Years (Adult, Older Adult)	Early Phase 1	10.0	Other	Interventional	Allocation: N/A\|Intervention Model: Single Group Assignment\|Masking: None (Open Label)\|Primary Purpose: Treatment	ISC.20.11.1	August 1, 2020	November 30, 2020	December 30, 2020	August 18, 2020	NaN	August 20, 2020	Vinmec Research Institute of Stem cell and Gene Technology, Hanoi, Vietnam	NaN	https://ClinicalTrials.gov/show/NCT04516954
6	7	NCT04476940	COVID-19 Breastfeeding Guideline for African-Americans	COVID-BF	Not yet recruiting	No Results Available	Covid19\|Exclusive Breastfeeding	Behavioral: COVID-19 Breastfeeding Support	COVID-19 breastfeeding guidance adherence at birth.\|COVID-19 breastfeeding guidance adherence at 1-month postpartum.\|COVID-19 breastfeeding guidance adherence at 3-months postpartum.\|Exclusive breastfeeding at birth.\|Exclusive breastfeeding at 1-month.\|Exclusive breastfeeding at 3-months.\|COVID_Status\|COVID-19 Immunoglobulin G\|COVID-19 Immunoglobulin M	Meharry Medical College	Female	18 Years to 45 Years (Adult)	Not Applicable	200.0	Other	Interventional	Allocation: N/A\|Intervention Model: Single Group Assignment\|Masking: None (Open Label)\|Primary Purpose: Prevention	330875	September 2020	October 2021	June 2022	July 20, 2020	NaN	July 20, 2020	Meharry Medical College, Nashville, Tennessee, United States	NaN	https://ClinicalTrials.gov/show/NCT04476940
7	8	NCT04634214	The Severity of COVID 19 in Diabetes and Non-diabetes Patients	COVID19	Not yet recruiting	No Results Available	Covid19\|Type2 Diabetes	NaN	Severity of COVID 19 among people with and without diabetes\|Number of patients who were in ICU\|Number of patients who had tracheal intubation\|Number of patients who had respiratory complication\|Number of death\|Correlation of BMI with complications, tracheal intubation and mortality\|Length of hospital stay	India Diabetes Research Foundation & Dr. A. Ramachandran's Diabetes Hospitals	All	18 Years to 99 Years (Adult, Older Adult)	NaN	1050.0	Other	Observational	Observational Model: Case-Control\|Time Perspective: Retrospective	IDRFARH015	November 16, 2020	February 16, 2021	May 16, 2021	November 18, 2020	NaN	November 18, 2020	Orthomed Hospital, Chennai, Tamil Nadu, India\|Medway Hospital, Chennai, Tamil Nadu, India\|Venkateswara Hospital, Chennai, Tamil Nadu, India\|Dr. Rela Institute & Medical Center, Chennai, Tamil Nadu, India	NaN	https://ClinicalTrials.gov/show/NCT04634214
8	9	NCT04602884	Early Detection of COVID-19 Using Breath Analysis	COVID-19	Suspended	No Results Available	Covid19	Diagnostic Test: Breath biopsy sampling using the ReCIVA Breath Sampler	Correlation between Volatile Organic Compounds pattern and COVID-19 detection status.\|Correlation between Volatile Organic Compounds pattern and time from COVID-19 detection.\|Correlation between the set of Volatile Organic Compounds found in breath biopsy and disease intensity.	Scentech Medical Technologies Ltd	All	18 Years to 55 Years (Adult)	Not Applicable	50.0	Industry	Interventional	Allocation: Non-Randomized\|Intervention Model: Parallel Assignment\|Masking: None (Open Label)\|Primary Purpose: Diagnostic	Cov-2-IDF	September 22, 2020	December 30, 2021	December 30, 2021	October 26, 2020	NaN	April 13, 2021	IDF COVID 19 Isolation Facility, Ashkelon, Israel	NaN	https://ClinicalTrials.gov/show/NCT04602884
9	10	NCT04384588	COVID19-Convalescent Plasma for Treating Patients With Active Symptomatic COVID 19 Infection (FALP-COVID)	FALP-COVID	Recruiting	No Results Available	COVID-19 Infection\|Cancer Patients\|General Population	Biological: Convalescent Plasma from COVID-19 donors	in-hospital mortality secondary to COVID-19 among patients treated with convalescent plasma\|safety of the use of convalescent plasma drom COVID 19 donors\|Mortality at 30 days, 90 days, 6 months and 1 year\|in-hospital Mortality COVID-19 related compared with non-treated population according to Chilean official reports\|Number of days of hospitalization in high complexity facilities after convalescent plasma use\|Number of days of hospitalization in intensive care unit after convalescent plasma use\|Number of days of mechanical ventilatory support in patients after convalescent plasma use\|Total number of days of mechanical ventilatory support\|Total number of hospitalization days in patients treated with convalescent plasma\|Number of hospitalization days in patients after treatment with convalescent plasma\|Viral load measuring\|Immunological response in treated patients (COVID19-Immunoglobulin M and Immunoglobulin G, neutralizing antibodies)\|Negativization of COVID 19 load since convalescent plasma use\|Negativization of COVID 19 load since hospitalization\|Negativization of COVID 19 load since first reported symptoms COVID-19 related\|Donor Interferon Gamma profile characterization\|Donor Granulocyte Macrophage Colony Stimulating Factor characterization\|Donor Tumor Necrosis Factor Alfa characterization\|Donor Interleukin -1 beta characterization\|Donor Interleukin-2 characterization\|Donor Interleukin-4 characterization\|Donor Interleukin-6 characterization\|Donor Interleukin-8 characterization\|Donor Interleukin-10 characterization\|Receptor Interferon Gamma profile characterization\|Receptor Granulocyte Macrophage Colony Stimulating Factor characterization\|receptor Tumor Necrosis Factor Alfa characterization\|receptor Interleukin -1 beta characterization\|Receptor Interleukin-2 characterization\|Receptor Interleukin-4 characterization\|Receptor Interleukin-6 characterization\|Receptor Interleukin-8 characterization\|Receptor Interleukin-10 characterization	Fundacion Arturo Lopez Perez\|Confederación de la Producción y del Comercio (CPC)\|Bolsa de Santiago	All	15 Years and older (Child, Adult, Older Adult)	Phase 2\|Phase 3	100.0	Other	Interventional	Allocation: Non-Randomized\|Intervention Model: Parallel Assignment\|Masking: None (Open Label)\|Primary Purpose: Treatment	FALP 001-2020	April 7, 2020	April 6, 2021	April 6, 2021	May 12, 2020	NaN	May 12, 2020	Fundacion Arturo Lopez Perez, Providencia, Santiago, Chile	NaN	https://ClinicalTrials.gov/show/NCT04384588

	Rank	NCT Number	Title	Acronym	Status	Study Results	Conditions	Interventions	Outcome Measures	Sponsor/Collaborators	Gender	Age	Phases	Enrollment	Funded Bys	Study Type	Study Designs	Other IDs	Start Date	Primary Completion Date	Completion Date	First Posted	Results First Posted	Last Update Posted	Locations	Study Documents	URL
5773	5774	NCT04639661	Predictors of Periodontal Outcomes Post-sanative Therapy	NaN	Enrolling by invitation	No Results Available	Periodontal Diseases\|Periodontal Pocket	NaN	Probing depth\|Bleeding on probing\|Tooth Loss\|O'Leary Index of Plaque Control	Brock University\|Dr. Peter C. Fritz, Periodontal Wellness & Implant Surgery	All	19 Years and older (Adult, Older Adult)	NaN	200.0	Other	Observational	Observational Model: Cohort\|Time Perspective: Retrospective	20-070	November 25, 2020	August 2021	December 2021	November 20, 2020	NaN	December 4, 2020	Dr. Peter C. Fritz, Periodontal Wellness & Implant Surgery, Fonthill, Ontario, Canada\|Brock University, St. Catharines, Ontario, Canada	NaN	https://ClinicalTrials.gov/show/NCT04639661
5774	5775	NCT04180709	CBT to Reduce Insomnia and Improve Social Recovery in Early Psychosis	CRISP	Recruiting	No Results Available	Psychotic Disorders\|Psychosis\|Sleep	Device: Sleepio	Change from baseline Work and Social Adjustment Scale (WSAS) score at week 9 of study\|Time Use Survey - Structured Hours (TUS-SH)\|Patient Health Questionnaire (PHQ-9)\|Rapid Visual Information Processing (RVP) / CANTAB Cognitive Test\|Paired Associates Learning (PAL) / CANTAB Cognitive Test\|Spatial Working Memory (SWM) / CANTAB Cognitive Test\|Emotion Recognition Task (ERT) / CANTAB Cognitive Test\|Global Assessment of Functioning (GAF) (split version / subscales GAF-D & GAF-S)\|Change from baseline Work and Social Adjustment Scale (WSAS) score at week 17\|Change from baseline Work and Social Adjustment Scale (WSAS) score at week 5, to correct for confounding in mediation analysis\|Change from baseline Work and Social Adjustment Scale (WSAS) score at week 13, to correct for confounding in mediation analysis	University of Cambridge\|Cambridgeshire and Peterborough NHS Foundation Trust\|Cambridge Cognition Ltd\|Big Health	All	18 Years and older (Adult, Older Adult)	Not Applicable	44.0	Other\|Industry	Interventional	Allocation: Randomized\|Intervention Model: Parallel Assignment\|Masking: None (Open Label)\|Primary Purpose: Supportive Care	M00915\|RNAG-521\|224101\|19/EE/0352	October 30, 2020	November 30, 2022	November 30, 2022	November 27, 2019	NaN	November 3, 2020	Cameo Early Intervention, Cambridge, Cambridgeshire, United Kingdom	NaN	https://ClinicalTrials.gov/show/NCT04180709
5775	5776	NCT04335643	Telehealth CBT for Adolescents and Young Adults With Childhood-onset Systemic Lupus Erythematosus	cSLE	Recruiting	No Results Available	Systemic Lupus Erythematosus	Behavioral: TEACH	Recruitment rates of the study\|Retention rates of the study\|Feasibility of remotely-delivered TEACH\|Changes in fatigue, as measured by the PROMIS Fatigue SF\|Long-term changes in fatigue, as measured by the PROMIS Fatigue SF\|Changes in depressive symptoms, as measured by the CDI-2 and BDI-II\|Long-term changes in depressive symptoms, as measured by the CDI-2 and BDI-II	Michigan State University\|Arthritis Foundation\|The Hospital for Sick Children	All	12 Years to 22 Years (Child, Adult)	Not Applicable	75.0	Other	Interventional	Allocation: Randomized\|Intervention Model: Parallel Assignment\|Masking: None (Open Label)\|Primary Purpose: Treatment	STUDY00003882	August 4, 2020	December 2021	December 2021	April 6, 2020	NaN	March 9, 2021	Michigan State University, Grand Rapids, Michigan, United States\|The Hospital for Sick Children, Toronto, Ontario, Canada	NaN	https://ClinicalTrials.gov/show/NCT04335643
5776	5777	NCT04589377	Mindfulness to Mitigate Psychological Threat and Improve Engagement and Learning in Introductory Physics Courses	NaN	Recruiting	No Results Available	Stress	Behavioral: Mindfulness Training	Mean differences in Psychological Threat measured via Ecological Momentary Assessment\|Mean differences in Physics Motivation assessed via Ecological Momentary Assessment\|Mean change in Psychological Threat measured via Self-Report\|Mean change in Physics Interest measured via Self-Report\|Mean change in Physics Self-Efficacy measured via Self-Report\|Mean change in Physics Value measured via Self-Report\|Mean change in Physics Identity measured via Self-Report\|Mean change in Physics Belonging measured via Self-Report\|Mean change in Physics Achievement Goals measured via Self-Report\|Mean change in Physics Growth Mindset measured via Self-Report\|Mean differences in Meaning Making and Positive Reappraisal assessed via Ecological Momentary Assessment\|Mean differences in Affect assessed via Ecological Momentary Assessment\|Mean differences in Mindfulness assessed via Ecological Momentary Assessment\|Mean differences in Equanimity assessed via Ecological Momentary Assessment\|Mean change in Meaning Making and Positive Reappraisal assessed via Self-Report\|Mean change in Physics Engagement assessed via Self-Report\|Mean change in Physics Anxiety assessed via Self-Report\|Mean change in Physics performance on the assessment\|Mean differences in Performance on the Preparation for Future Learning Task\|Mean change of judgments of confidence, anxiety, and difficulty during physics assessment via Self-Report	University of Pittsburgh\|U.S. National Science Foundation\|James S McDonnell Foundation	All	18 Years and older (Adult, Older Adult)	Not Applicable	150.0	Other\|U.S. Fed	Interventional	Allocation: Randomized\|Intervention Model: Parallel Assignment\|Masking: Single (Participant)\|Primary Purpose: Treatment	STUDY19050258	October 26, 2020	August 31, 2022	December 31, 2022	October 19, 2020	NaN	November 10, 2020	University of Pittsburgh, Pittsburgh, Pennsylvania, United States	NaN	https://ClinicalTrials.gov/show/NCT04589377
5777	5778	NCT04574466	Scaling-up Psychological Interventions With Syrian Refugees in Switzerland (STRENGTHS_CH): RCT	NaN	Recruiting	No Results Available	Distress\|PTSD\|Anxiety\|Depression\|Trauma\|Functional Disabilities\|Common Mental Health Problems	Behavioral: Problem Management Plus	Change in psychological distress\|Change in posttraumatic stress disorder symptoms\|Change in functional disability	University of Zurich	All	18 Years and older (Adult, Older Adult)	Not Applicable	380.0	Other	Interventional	Allocation: Randomized\|Intervention Model: Parallel Assignment\|Masking: Single (Outcomes Assessor)\|Primary Purpose: Treatment	BASEC-2017-01175-rct	August 25, 2020	June 2022	June 2022	October 5, 2020	NaN	October 5, 2020	Klinik für Konsiliarpsychiatrie und Psychosomatik, Zürich, Switzerland	NaN	https://ClinicalTrials.gov/show/NCT04574466
5778	5779	NCT04011644	Mobile Health for Alcohol Use Disorders in Clinical Practice	NaN	Recruiting	No Results Available	Alcohol Drinking\|Telemedicine	Behavioral: A-CHESS self-monitored\|Behavioral: A-CHESS peer-supported\|Behavioral: A-CHESS clinically-integrated	Number of risky drinking days\|Number of patients who are willing to share data\|Number of healthcare services used in the past 6 months\|Cost of implementation of each intervention arm in US dollars\|Number of patient risk factors assessed by a revised Brief Alcohol Monitor\|Number of days health coach/other clinician used the A-CHESS dashboard\|Score of Alcohol Use Disorders Identification Test (AUDIT) screening tool\|Score of the Diagnostic and Statistical Manual- 5 Alcohol use disorder (AUD) severity\|Score of relatedness as assessed by the CHESS Bonding Scale\|Score of competence as assessed by the Perceived competence scale (PCS)\|Score of autonomous motivation as assessed by revised Treatment Self Regulation Questionnaire\|Time of A-CHESS used\|Number of setback status triggered by A-CHESS\|Variables used for predictive setback status\|Number of response statuses addressed\|Score of overall quality of life as assessed by Patient Reported Outcomes Measurement Information System (PROMIS) Global-10\|Pages viewed on A-CHESS\|Number of patient protection factors assessed by a revised Brief Alcohol Monitor	University of Wisconsin, Madison\|National Institute on Alcohol Abuse and Alcoholism (NIAAA)	All	21 Years to 100 Years (Adult, Older Adult)	Not Applicable	566.0	Other\|NIH	Interventional	Allocation: Randomized\|Intervention Model: Parallel Assignment\|Masking: None (Open Label)\|Primary Purpose: Treatment	2019-0337\|R01AA024150\|A532007\|SMPH/FAMILY MED/RES GRANTS\|Protocol Version 1/26/2021	March 23, 2020	August 2022	April 2023	July 8, 2019	NaN	April 2, 2021	UW Health at the American Center, Madison, Wisconsin, United States	NaN	https://ClinicalTrials.gov/show/NCT04011644
5779	5780	NCT04681339	Antibiotic Prescription in Children Hospitalized for Community-acquired Pneumonia	NaN	Not yet recruiting	No Results Available	Community Acquired Pneumonia in Children\|Antibiotic Stewardship	Other: Antibiotic treatment\|Other: No antibiotic treatment	Antibiotic treatment rates in hospitalized children with non-severe community-acquired pneumonia and fever\|Number of medical complications\|Factors in physician decision making on antibiotic prescription\|Parental satisfaction\|Hospitalization duration\|Number of children with relevant comorbidity\|Days of supplemental oxygen use\|Use of antipyretic medications\|Number of complementary medicine medications used per child\|Number of readmissions for pneumonia or new pneumonia recurrences within 4 weeks of hospital discharge	ARCIM Institute Academic Research in Complementary and Integrative Medicine\|Gemeinschaftskrankenhaus Herdecke, Germany	All	3 Months to 18 Years (Child, Adult)	NaN	200.0	Other	Observational	Observational Model: Cohort\|Time Perspective: Prospective	PKA-03	April 2021	November 2024	December 2024	December 23, 2020	NaN	February 10, 2021	Die Filderklinik, Filderstadt, Baden-Württemberg, Germany\|Herdecke Community Hospital, Herdecke, Nordrhein-Westfalen, Germany	NaN	https://ClinicalTrials.gov/show/NCT04681339
5780	5781	NCT04740229	Moderate-intensity Flow-based Yoga Effects on Cognition and Stress	NaN	Recruiting	No Results Available	Stress\|Psychological	Behavioral: Yoga	Perceived Stress\|Task switching paradigm\|Digit span forward and backward\|Digit symbol substitution test (DSST)\|Stroop task	University of Illinois at Urbana-Champaign	All	18 Years to 64 Years (Adult)	Not Applicable	88.0	Other	Interventional	Allocation: Randomized\|Intervention Model: Parallel Assignment\|Masking: Double (Investigator, Outcomes Assessor)\|Primary Purpose: Treatment	21584	February 10, 2021	July 2021	July 2021	February 5, 2021	NaN	February 24, 2021	University of Illinois at Urbana-Champaign, Urbana, Illinois, United States	NaN	https://ClinicalTrials.gov/show/NCT04740229
5781	5782	NCT04804917	3-year Follow-up of the Mind My Mind RCT	MindMyMindFU	Recruiting	No Results Available	Emotional Problem\|Anxiety Disorder of Childhood\|Depressive Symptoms\|Behavior Problem of Childhood and Adolescence\|Mental Health Disorder	NaN	The child's impact of mental health problems reported by the parent on the Strengths and Difficulties Questionnaire Impact Scale.\|Emotional and behavioral problems\|School attendance: proportion of school-days within the last 4 weeks, where the child is present (no illegal absence)\|Child Health Utility instrument (CHU9D)\|The Parental Stress Scale (PSS)	Mental Health Services in the Capital Region, Denmark\|Frederiksberg University Hospital\|Defactum, Central Denmark Region\|The Danish Mental Health Foundation	All	8 Years to 20 Years (Child, Adult)	NaN	396.0	Other	Observational	Observational Model: Other\|Time Perspective: Prospective	MHSCRDenmark, F-61502-03-1	March 22, 2021	May 31, 2022	December 31, 2022	March 18, 2021	NaN	April 1, 2021	Mental Health Services in the Capital Region, Denmark, Copenhagen, Denmark	NaN	https://ClinicalTrials.gov/show/NCT04804917
5782	5783	NCT04680000	Chronic Pain Management In Primary Care Using Behavioral Health Consultants	NaN	Not yet recruiting	No Results Available	Chronic Pain	Behavioral: Brief Cognitive Behavioral Therapy for Chronic Pain (BCBT-CP)\|Other: BCBT-CP Booster	Defense and Veterans Pain Rating Scale (DVPRS)\|Behavioral Health Measure-20 (BHM-20)\|Pain Intensity, Enjoyment and General Activity (PEG-3)\|Modified Oswestry Disability Index (ODI)\|Pain Catastrophizing Scale (PCS)\|Chronic Pain Acceptance Questionnaire (CPAQ)\|Insomnia Severity Index (ISI)\|Two-Item Patient Health Questionnaire (PHQ-2)	The University of Texas Health Science Center at San Antonio\|Uniformed Services University of the Health Sciences\|Massachusetts General Hospital\|Defense Health Agency\|59th Medical Wing\|Brooke Army Medical Center\|C.R.Darnall Army Medical Center	All	18 Years and older (Adult, Older Adult)	Not Applicable	716.0	Other\|U.S. Fed	Interventional	Allocation: Randomized\|Intervention Model: Parallel Assignment\|Masking: None (Open Label)\|Primary Purpose: Treatment	HSC20200520H	February 2021	February 2024	February 2025	December 22, 2020	NaN	December 22, 2020	Uniformed Services University for the Health Sciences, Bethesda, Maryland, United States\|University of Texas Health Science Center San Antonio, San Antonio, Texas, United States	NaN	https://ClinicalTrials.gov/show/NCT04680000

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